Comparison of the millimeter wave path loss estimation model with outages

Kyung Gyu Lee, Seong-Jun Oh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The millimeter wave is in an extremely high frequency band whose frequency and wavelength ranges are 30-300 GHz and 10-1 mm, respectively. Owing to the large distance loss and weak diffraction, a channel in the millimeter wave band experiences a propagation loss that is much worse than that of a low frequency band. When the path loss in the millimeter wave band is measured, it is observed that the data is confined within a certain range owing to limitations. If the original least square is applied to the measurement data without considering the limitations of certain values, the path loss exponent can be underestimated. Therefore, both censoring and truncation environments should be taken into account in the regression model. In this paper, the performance of the Tobit maximum likelihood estimation, Heckman two-stage model and truncation regression model are compared with the ray-tracing simulation.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Computational Electromagnetics, ICCEM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages276-278
Number of pages3
ISBN (Electronic)9781509010387
DOIs
Publication statusPublished - 2017 Apr 26
Event2017 IEEE International Conference on Computational Electromagnetics, ICCEM 2017 - Kumamoto, Japan
Duration: 2017 Mar 82017 Mar 10

Other

Other2017 IEEE International Conference on Computational Electromagnetics, ICCEM 2017
CountryJapan
CityKumamoto
Period17/3/817/3/10

    Fingerprint

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Radiation
  • Instrumentation
  • Computer Networks and Communications
  • Computational Mathematics

Cite this

Lee, K. G., & Oh, S-J. (2017). Comparison of the millimeter wave path loss estimation model with outages. In 2017 IEEE International Conference on Computational Electromagnetics, ICCEM 2017 (pp. 276-278). [7912810] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COMPEM.2017.7912810